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Design of Experiments for Categorical Repeated Measurements in Packet Communication Networks

Summary: The authors seek to find the optimal times at which to inject survey packets into a packet network by treating all measurements as numerical experiments and applying design of experiments (DOE) theory to them. The target node is modeled as a discrete-time Markov chain. A method is described for optimally designing observation times for the chain. A uniform rate of measurement, the standard commercial technique, is shown to be nonoptimal for some common optimality criteria. The authors show how their method may be generalized to find optimal designs for any system that evolves according to the Markov principle.

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  • Topics: Design of Experiments
  • Keywords: Bayesian methods, D-optimality, Design of experiments (DOE), Markov chains, Maximum likelihood estimate (MLE), Measurement
  • Author: Parker, Ben M.; Gilmour, Steven G.; Schormans, John A.
  • Journal: Technometrics